Adopting an Enterprise Data Model is a difficult proposition if the structural needs of data mode lers and architects are not balanced with the demands of business users con tinuously adapting to changing priorities and external drivers. This s ession will describe how, based on the speaker’s experiences launchin g multiple enterprise data initiatives - including architecture and governa nce side-by-side with analytics and business intelligence - to align the so metimes competing drivers of the architects and builders of the “data house + foundation” with those of the business analysts that need to start living inside the “data house” as soon as possible (ofte n far in advance of the planned completion date of construction).
\n\n \nThe idea that the construction of the “data house” will ever be completely finished is a myth.
\n \n \nThe least efficient organizational structure for delivering the “d ata house” splits the work units across different teams with competin g priorities and no central authority.
\n \n \nThe most efficient organizational approach for delivering the “dat a house” evangelizes a culture of virtual alignment, regardless of or g structure.
\n \n \nRather than architecting the entire blueprints of the “data house, ” iteratively mature the basic modules of an enterprise data pro gram - including Data Staging, Data Modeling, Data Integration, Business Ac cess, Business Governance, and Business Self-Service for Reporting and Anal ytics - based on business value and priority.
\n \n\nDirectly aligning your program to measurable business value maintains e ngagement and support for ongoing investment, while minimizing the fatigue that can build over the span of long deployments. DTSTART:20181010T154500 SUMMARY:Deconstructing the “House of Data”: Maturing a Foundational Enterpr ise Data Model While Serving Up Actionable Line-of-Business Views DTEND:20181010T164459 LOCATION: See Description END:VEVENT END:VCALENDAR